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Autism spectrum disorders (ASD) are heterogeneous disorders, and heterogeneity lies both at genetic and phenotypic levels. To better understand the etiology and pathway that may contribute to autism symptomatology, it is important to study milder expressions of autism characteristics – autistic traits or milder expressions of autism phenotype, especially in intergenerational context. This study aims to see the trend of association, if any, between child autism symptom and mothers’ autism phenotype as well as mothers’ theory of mind and to see if mothers’ theory of mind was associated with their own autistic traits.

Data were collected from 96 mothers of children with varying symptom severity of autism (mild, moderate and severe) using Autism Spectrum Quotient and faux pas recognition test. Analysis of variance, trend analysis and t-test were done.

Results showed a linear trend of relationship between mothers’ autism phenotype and child symptom severity. However, the groups did not have significant differences in theory of mind. Only a few components of theory of mind were found to be associated with autistic traits. These findings question the prevailing idea that theory of mind can be a reliable endophenotype of autism.

There has been a lack of research assessing the possible link between parents’ autism phenotype and symptom severity of ASD children. This study is a preliminary step towards that direction. This study indicates a probability of shared genetic liability between mothers and offspring, which would have important consequences for understanding the mechanisms that lead to autism.

This study offers implications for treatment planning of those with clinical ASD. An awareness of parental factors is critical for any holistic intervention plan when a family seeks treatment for their child. This study suggests that while individualising interventions, clinicians may consider possible presence of high levels of autistic traits and related cognitive features present in the probands’ parents.

There has been lack of research assessing the possible link between parents’ autism phenotype and symptom severity of ASD children. This study, even though preliminary, is a step towards that direction. This study suggests that autism traits might be influenced by common genetic variation and indicates a probability of shared genetic liability between mothers and offspring, which would have important consequences for understanding the mechanisms that lead to autism.

The Autism-Spectrum Quotient (AQ) is a widely used tool to quantify autistic traits in the general population. This study aims to report the distribution, group differences and factor structure of autistic traits in Indian general population. The work also assesses the criterion validity of AQ across three patient group samples – autism spectrum disorder (ASD), obsessive-compulsive disorder and social anxiety disorder.

In this study, psychometric properties of the adapted AQ were assessed among 450 neurotypical university students matched for age. Confirmatory factor analysis was done to see if the adapted AQ fits the original factor structure. Test–retest, internal consistency reliability and criterion validity were found out. Group differences (gender and field of study) in AQ were also assessed.

Autistic traits were found to be continuously distributed in the population, and patterns of group differences were consistent with previous studies. The adapted AQ had five factors resembling the original factor structure with a good fit, and 38 items instead of the original 50 items. Acceptable reliability coefficients were demonstrated along with criterion validity across clinical groups.

This work is the first to present the pattern of distribution and factor structure of autistic traits among neurotypical adults from Eastern India, a culturally different population, as well as a reliable and valid tool to assess autistic traits in Bengali, a language with 300 million speakers. The findings add to the growing literature on AQ measurement and the concept of autism as a quantitative trait, examined outside of the western samples.

The review paper aims to understand the development of workplace ostracism as a field in organizational studies from 2000 to the present. The study provides a comprehensive synthesis of the current state of the domain by exploring its antecedents, consequences, underlying mechanisms and buffering mechanisms.

The present study analyses 134 published peer-reviewed empirical and non-empirical articles retrieved from the Scopus database. A systematic literature review and bibliometric analyses (using VOS viewer) have been used to gain insights into the development and trends within the field. Bibliometric analyses involved science mapping techniques such as co-citation analysis, co-occurrence of keywords and bibliographic coupling. Combining these three techniques, the study aimed to provide a comprehensive overview of the workplace ostracism research domain's historical, current and future landscape.

In the present study, through descriptive analyses, the authors uncovered publishing trends, productive journals, countries and industries that contribute to this research field. The systematic review enabled the showcasing of the current landscape of workplace ostracism. The bibliometric analyses shed light on major authors, influential articles, prominent journals and significant keywords in workplace ostracism.

This study enriches the existing literature by offering a comprehensive research framework for workplace ostracism. It goes beyond that by presenting significant bibliographic insights by applying bibliometric analyses. Furthermore, this study identifies and emphasizes future research directions using the theory, characteristics, construct and methodologies framework, aiming to expand the knowledge base and understanding of this topic.

The existing literature contains few references on the better adaptors of online distance education amongst STEM (read as science, technology, engineering and mathematics) and non-STEM (composed of humanities, social science and commerce) study groups in an Indian peri-urban context. The study's objective is to determine the better adaptor amongst these two study groups in online distance learning in higher education systems in an Indian peri-urban context.

The investigation was carried out prior to COVID-19 and during the pandemic. The inquiry is triangulated in nature with a disproportionate stratified random sampling approach used to pick 312 post-graduate students (STEM = 135 and non-STEM = 177) from a peri-urban higher education institute in West Bengal, India, using the “Raosoft” scale. Given the prevailing social distance norms, 235 samples of respondents from 312 students were evaluated via telephonic/online interviews during the COVID-19 period. The data were analysed using SPSS 22.

This study's investigations reveal that the STEM respondents have better digital profiles, better basic computing and Internet knowledge and greater digital usage for academic purposes before the pandemic times than the non-STEM group. This prior digital exposure has enabled the STEM group to cope with regular online distance education during the pandemic more quickly than the non-STEM group, as evidenced by their regular attendance in online classes and their greater awareness of its utilitarian role than the other group.

The study offers a way forward direction to evolve with more inclusive online distance learning in peri-urban Indian regions.

The paper aims to review rules and policy guidelines worldwide around non-personal data (NPD) and evaluate the policies on criteria that allow for the use of data for economic and social good. A review related to diverse policy approaches of various countries remains a research gap, and hence the analysis in the paper is designed with the intention of developing a research framework and providing policy gaps for further exploration.

A systematic review of academic and non-academic literature on theoretical foundations, applications of NPD for economic and social good and NPD policies and regulations was conducted to identify the evaluation criteria. A total of 32 dimensions got identified for evaluation. As second step, content analysis was used for evaluation. A total of 13 documents from 6 countries and 1 geographical region were identified for evaluation. The documents were evaluated based on the 32 dimensions spread across 5 domains that facilitate data access and sharing for economic and societal benefit.

The analysis highlights three distinct emerging perspectives on data exchange: most policy and regulatory documents acknowledge the importance of identifying different types of NPD and accordingly describing the distinct roles and responsibilities of data actors for leveraging the data; the policy and regulatory frameworks clearly focus on increasing business opportunities, data sharing cooperation and innovation; and findings also demonstrate certain gaps in the policy frameworks such as a more comprehensive discussion on data access and sharing mechanisms, particularly data sandboxes and open data, and concrete norms and rigorous standards regarding accountability, transparency, ownership and confidentiality. Furthermore, policies and regulations may include appropriate incentive structures for data providers and users to ensure unhindered and sustainable access to data for the common good.

To the best of the authors’ knowledge, this paper represents one of the first research contributions evaluating global data policies focused on NPD in the context of its increasing use as a public good. The paper first identifies evaluation criteria for the analysis on public and social good, and, thus, provides a conceptual framework for future research. Additionally, the analysis identifies the broad domains of policy analysis on social and public good for data economics.

The purpose of this paper is to propose a performance evaluation framework using an integrated approach of stochastic frontier analysis (SFA) and technique of order preference with similarity to ideal solution (TOPSIS) called efficiency ranking method using SFA and TOPSIS (ERM-ST) specifically in the banking sector where service excellence is of prime importance for business growth.

The proposed approach ERM-ST measures the performance of a DMU in the SFA framework by considering multiple outputs and multiple inputs. It is a non-parametric tool which does not need any prior model assumptions which enhances its applicability in real-life business scenarios. Moreover, the efficiency score obtained using the proposed model ERM-ST lies between 0 and 1, unlike in case of super efficiency data envelopment analysis (DEA) which may go well above 1.

The proposed framework is evaluated for its applicability using two various data sets and is further used to evaluate the performance of a group of 26 public sector banks in India. The results obtained by the proposed method ERM-ST are compared with those obtained by super efficiency DEA using Friedman’s test.

The proposed approach ERM-ST is developed to evaluate the performance of a service unit with multiple outputs and multiple inputs in the SFA framework.

Integration of city systems is needed to provide flexibility, agility and access to real-time information for the creation and delivery of efficient services in a smart and sustainable city. Consequently, City Process Modelling (CPMo) becomes an essential element of connecting various city sectors. However, to date, there has been limited research on the requirements of an ideal CPMo approach and the usefulness of available Business Process Modelling (BPMo) approaches. This research develops a framework for CPMo to guide smart city developers when modelling city processes.

Data from literature analysis was gathered to derive capabilities of existing BPMo techniques. Then, semi-structured interviews were conducted to thematically and qualitatively explore the requirements, challenges and success factors of CPMo.

The interview findings offered 17 requirements to be addressed by a CPMo approach, along with several challenges and success factors to be considered when implementing CPMo approaches. Then, the paper presents the results of mapping these requirements against 12 existing BPMo capabilities, identified from the literature, concluding that a significant number of requirements (which are mainly related to inputs and visualisation) have been left unfulfilled by existing BPMo approaches. Hence, developing an innovative CPMo approach is necessary to address the components of unfulfilled requirements.

The innovative framework presented in this paper justifies the CPMo requirements, which are unexplored in existing SCD frameworks. Moreover, it will act as a guide for smart city developers, to model cross-sectoral city processes, helping them progress their SCD road map and make their cities smart.

Web sites are the first point of interaction in the virtual environment and information and entertainment aspects are the most important tenets of web sites. Thus, it becomes important to know how much information and entertainment is required, is adequate and appropriate for a web site. The purpose of this paper is to classify 43 web sites into information and entertainment profiles.

The sites were selected from two Indian rating web sites and engineering students. From the pool of the selected web sites, the present study classified 43 web sites on information and entertainment profiles. The web site profile comprised informativeness, organisation of information elements, entertainment properties and organisation of entertainment elements. The classification was done by three independent judges.

The results revealed that out of 43 web sites, eight were high on both information and entertainment profiles, 15 were high on information and low on entertainment profiles, six were low on information and high on entertainment profiles and 14 were low on both information and entertainment profiles.

Marketers may take cues from the classified web sites and design their web sites to ensure that the web site content meets their goals and satisfies the users while filtering out the content which is irrelevant to their business and incorporate what is essential.

This study provides guidelines regarding the information and/or entertainment aspects which should be stronger in information and/or entertainment‐oriented web sites to attract users. The present study targets the marketers who should prioritise web site features depending upon the needs of their target group.

The research sought to assess perceived barriers to enrolment in parenting programmes by different ethnic groups in a deprived inner‐city community. In study one, parents of children attending pre‐school services targeted with outreach strategies were assessed using a Barriers Checklist to identify factors influencing uptake. In study two, a larger sample completed the checklist and SDQ (Strengths and Difficulties Questionnaire) to test associations between intention and parent‐rated behavioural difficulties. Study one found no significant differences in individual perceived barriers or levels of behavioural difficulty between ethnic groups. In study two, Pakistani, Asian British and African families showed the highest levels of interest in attending groups, and White British and Black British the lowest. There was no significant correlation between interest and behavioural difficulties. Higher parent education was associated with interest. The research shows that barriers to attendance are diverse, and finding further ways of enhancing the uptake of community‐based group programmes across different ethnic groups would be valuable.

The Indian state of Assam is situated in a high rainfall zone and the river Brahmaputra flowing through the state causes annual floods which adversely impact the agro‐economic base of the region. The situation is likely to become exacerbated under the impact of climate change. The purpose of this paper is to quantify the vulnerability of the farmers in Assam to floods in the scenario of the present climate variability taking a case study of the Majuli Island of Jorhat district.

The current vulnerability of the farmers in the Majuli Island of Jorhat district of Assam is quantified using the “indicator method”. A Composite Vulnerability Index is calculated taking into account various indicators reflective of the exposure, sensitivity and the adaptive capacity of the farmers' community to floods. The indicators have been quantified based on the data obtained from household surveys and participatory rural appraisals (PRAs) in the villages and secondary data sources.

The results show that biophysical factors have the greatest impact on the overall vulnerability of the study area and that strengthened adaptive capacity, proper scientific planning and management is required to protect the Majuli Island from the adverse effects of recurrent floods.

This paper shows that the more decentralized the spatial unit of vulnerability assessment is, the more helpful it would be for policy makers and stakeholders to formulate efficient mitigation measures, plan apposite developmental programmes and improve the adaptive capacity of Assam as a whole to face the natural phenomenon of floods.